AI Powered PDLC & SDLC

AI Code Generation,
Powered by a Team of Specialist Agents

Most AI coding tools give you one chatbot that tries to do everything. We give you an entire product development team — each agent trained to excel at one part of the process, working together from idea to shipped code.

From idea to production code — with an AI team, not just an AI chatbot. Our platform routes every request through specialised AI agents for business requirements, architecture, specs, planning, database design, and code generation — so nothing gets lost between idea and implementation.

12 Specialist Agents

12 Specialised AI Agents, One Workflow

Every project moves through purpose-built agents instead of a single generic assistant. Each agent owns its phase and hands off to the next — just like a real product team.

01

Business Requirement Agent

Turns your goals and target users into comprehensive, structured requirements documentation — eliminating ambiguity before a single line of code is written.

02

Architecture Agent

Designs system architecture and technical patterns suited to your scale, stack, and non-functional requirements — from microservices to monoliths.

03

Technical Specification Agent

Creates detailed, developer-ready technical specs with API contracts, data models, and interface definitions that engineering can act on immediately.

04

Feature Breakdown Agent

Splits complex features into granular, estimable tasks with clear acceptance criteria — ready for sprint planning or backlog grooming.

05

Project Planning Agent

Generates realistic project plans, timelines, dependency maps, and risk registers — so you start every sprint with clarity, not guesswork.

06

Code Generation Agent

Writes production-ready, idiomatic code that follows your team's conventions — not generic boilerplate that needs to be thrown away.

07

Database Agent

Designs schemas, generates optimised queries, handles migrations, and suggests indexing strategies for maximum performance at scale.

08

QA Automation Agent

Generates comprehensive test suites — unit, integration, and end-to-end — ensuring coverage from the moment code is written.

09

Peer Review Agent

Performs automated code reviews against your standards, flagging security issues, anti-patterns, and maintainability concerns before human review.

10

Documentation Agent

Auto-generates inline docs, API references, README files, and onboarding guides — keeping documentation in sync with the code at all times.

11

Deployment Agent

Prepares CI/CD pipelines, Dockerfiles, infrastructure-as-code templates, and deployment runbooks — so shipping to production is repeatable and safe.

12

Production Release Agent

Monitors the deployment process, manages feature flags, coordinates rollouts to production buckets, and auto-generates release notes.

No Vendor Lock-In

Bring Your Own AI Model

Connect your preferred AI provider and model through a central configuration panel — switching takes seconds, not sprints. XpediOo supports all leading providers out of the box.

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiMeta LlamaDeepSeekCustom / Self-Hosted

Every agent in the pipeline can be configured to use a different model — run your heavyweight architecture decisions on Claude while keeping code generation on GPT-4o for cost efficiency.

Side-by-Side Intelligence

Multi-Model Comparison

Unsure which model will give the best result for a specific task? Turn on Multi-Model Comparison to run the same request across multiple AI models simultaneously and review their outputs side by side.

Run one prompt across 2–5 models in parallel
Compare code quality, style, and completeness at a glance
Select the winning output and continue the workflow
Save model preference per agent type for future runs
Ideal for high-stakes decisions like architecture or security review

Multi-Model Comparison removes the guesswork from model selection and lets your team make evidence-based decisions — not just default to whichever model is trendiest.

Collective Intelligence

Multi-Agent Swarm Mode

For complex problems, one AI perspective isn't enough. Swarm Mode deploys multiple specialised agents to work on the same task simultaneously — each contributing its unique strengths — and then synthesises their outputs into a single, superior result.

Parallel agent execution on the same request
Each agent specialises in a different dimension (security, performance, UX, scalability)
Outputs are merged and scored by a coordinator agent
Conflicts are surfaced with rationale — you decide the final direction
Dramatically reduces blind spots in complex architectural decisions

Swarm Mode is particularly powerful for greenfield architecture, security-critical components, and any problem where a single point of view could miss something important. Think of it as your AI design review — at machine speed.

Codebase-Aware Generation

Semantic Code Search — Intent-Aware

Generated code that feels foreign to your codebase creates technical debt before it's even merged. Semantic Code Search analyses the patterns, naming conventions, and architectural decisions already present in your repository — so every new line of generated code looks and feels like it was written by your own team.

Reads existing files to extract your team's coding conventions
Matches variable naming, function structure, and module patterns
Detects and reuses existing utilities instead of generating duplicates
Surfaces related existing code when generating new features
Works across polyglot codebases — TypeScript, Python, Go, Java, and more

The result: generated code that passes peer review faster, requires fewer edits, and integrates cleanly into your existing architecture — without the 'AI smell' that makes reviewers reach for the delete key.

Conversational Refinement

Vibe Code — Iterate Without Losing Control

Every agent includes Vibe Code mode — a fast, conversational interface for refining generated output in plain language. Describe what you want changed and the AI refines the existing code instead of starting over.

"Add error handling" — wraps every function with appropriate try/catch logic
"Make it more modern" — refactors to latest language idioms and patterns
"Rewrite this with hooks" — converts class components to functional patterns
"Optimise for performance" — applies caching, memoisation, and lazy loading
"Add JSDoc comments" — documents every function without changing behaviour

Every Vibe Code iteration is saved as a numbered version. You can branch from any point, roll back to an earlier state, and experiment boldly — knowing you can always recover your last stable output. Sessions automatically inherit your project's Semantic Code Search context, so refinements stay consistent with your codebase.

Ship Faster. Ship Smarter.

See how XpediOo's AI-powered PDLC & SDLC platform can transform your product development velocity — from first requirement to production release.